The Problem With AI Observability Nobody Wants To Admit

AI in Finance: From Money Laundering to Deepfakes

Mo sits down with Dr. Janet Bastiman, Chief Data Scientist at Napier AI, to talk about why fraud is easier to catch than money laundering, how deepfakes got good enough to fool a finance team out of millions, and why the humans who oversee AI matter more than ever.  🔗 Podcast: https://alice.io/podcast [https://alice.io/podcast] Follow the show so you don’t miss the next episode. New episodes every two weeks. Stay curious.

Afraid AI Will Replace You? Here's the One Skill It Can't

James Villarrubia went from building AI for NASA's drone and aerospace programs to becoming CTO of a travel tech company. In this episode, he and Mo get into why curiosity might be the most important skill in the AI era, what happens to our brains when we stop pushing back on the answers we get, and why the people most resistant to AI might actually be seeing something the rest of us are missing. Guest: James Villurbia, Group CTO, AnyRes.com / Former Head of Digital Innovation & AI @ NASA CAS 🔗 Podcast: https://alice.io/podcast [https://alice.io/podcast] Follow the show so you don’t miss the next episode. New episodes every two weeks. Stay curious.

The Problem With AI Observability Nobody Wants To Admit

In this episode of Curiouser & Curiouser, Mo sits down with Alison Cossette, Founder and CEO of ClariTrace, to talk about why your enterprise AI is moving faster than your visibility into it and what to actually do about it. They get into control native AI, why observability and traceability aren't optional anymore, and what leaders need to put in place before something goes wrong. 🔗 Podcast: https://alice.io/podcast [https://alice.io/podcast] Follow the show so you don’t miss the next episode. New episodes every two weeks. Stay curious.

What Does It Actually Take to Build Unbiased AI?

Tennisha Martin has five master's degrees, a doctorate in progress, founded one of the most important communities in cybersecurity, and will be the first to tell you that none of it mattered until she stopped trying to do it alone. In this episode, Mo and Tennisha get into AI bias, why the systems being built today are only as good as the people building them, and what it actually takes to break into a field that wasn't designed for everyone. 🔗 Podcast: https://alice.io/podcast [https://alice.io/podcast] Follow the show so you don’t miss the next episode. New episodes every two weeks. Stay curious.

AI Governance Needs a Dungeon Master

David Wendt spent 30 years building models for Fortune 100 companies before stepping away from the keyboard entirely to focus on AI governance. He also happens to be a Dungeon Master, and it turns out those two things have more in common than you'd think.  Mo and David get into red teaming, what good metrics look like in a probabilistic system, why you should probably stop measuring AI and start measuring outcomes, and what we actually owe the workers whose roles are being quietly restructured.  🔗 Podcast: https://alice.io/podcast [https://alice.io/podcast] Follow the show so you don’t miss the next episode. New episodes every two weeks. Stay curious.